**
*CALL FOR POSTERS14th International Symposium on Foundations of
Information and Knowledge Systems (FoIKS 2026) Hannover, Germany,
March 23–26, 2026https://foiks2026.github.io/
<https://foiks2026.github.io/>**.*
<https://foiks2026.github.io/>
*Apologies if you receive multiple copies of this call.*
------------------------------------------------------------------------
*FoIKS 2026 invites poster contributions presenting fresh research
ideas in the broad area of information and knowledge systems. Poster
papers need not report mature scientific results; they can also
describe early-stage work, starting points for discussions, or novel
perspectives on known problems.*
------------------------------------------------------------------------
*IMPORTANT DATES*
*
*
Submission deadline: December 19, 2025
*
Notification: January 19, 2026
*
Final version due: January 26, 2026
*
Conference: March 23–26, 2026
------------------------------------------------------------------------
SCOPE
Suggested topics include, but are not limited to:
*
Mathematical Foundations of Information and Knowledge Systems:
discrete structures, algorithms, graphs, formal languages
*
Database Design and Management: formal models, dependencies,
transactions, concurrency control
*
Logics in Databases and AI: classical and non-classical logics,
logic programming, description logics, spatial/temporal logics,
argumentation, probability and fuzzy logic
*
Knowledge Representation and Reasoning: logical and non-monotonic
reasoning, reasoning under inconsistency, vagueness, or uncertainty
*
Foundations of Neuro-symbolic Reasoning: embeddings for structured
information (knowledge graphs, logical theories, etc.)
*
Intelligent Agents: multi-agent systems, formal models of
interaction, coalition formation, epistemic reasoning
*
Knowledge Discovery and Information Retrieval: machine learning,
data mining, formal concept analysis, association rules,
information extraction
*
Security in Information and Knowledge Systems: privacy, trust,
access control, secure services, inference control, risk management
*
Integrity and Constraint Management: verification, validation,
consistent query answering, information cleaning
*
Knowledge Graphs and Semi-structured Data: data modelling,
processing, compression, and exchange
------------------------------------------------------------------------
SUBMISSION GUIDELINES
Poster papers must use the Springer LNCS LaTeX style
(seehttps://www.springer.com/gp/computer-science/lncs/conference-proceedings…
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>).Submissions
that deviate substantially from the guidelines may be rejected without
review.
*
Review process: single-blind (submissions are not anonymous).
*
Length: up to 5 pages including all material, i.e. including
references and no additional resources.
*
Submissions: PDF format only (final versions require LaTeX sources).
*
Submission
link:https://easychair.org/conferences/?conf=foiks2026<https://easychair.org/conferences/?conf=foiks2026>
Poster papers will undergo a rather lightweight review process. A good
poster paper should include motivation, a clear problem statement, and
initial results or report on work in progress. Preliminary ideas and
modest extensions of previous work are welcome.
At least one author of each accepted poster paper must register for
the conference. Each accepted poster will be presented in a lightning
talk and a poster session at FoIKS 2026.
For inquiries, contact: foiks2026(a)easychair.org
------------------------------------------------------------------------
PUBLICATION
Accepted poster papers will appear in the FoIKS 2026 proceedings,
published by Springer in the Lecture Notes in Computer Science (LNCS)
series.
------------------------------------------------------------------------
INVITED SPEAKERS
*
Giuseppe De Giacomo (University of Oxford)
*
Floris Geerts (University of Antwerp)
*
Wolfgang Nejdl (Leibniz Universität Hannover)
*
Ana Ozaki (University of Oslo)
------------------------------------------------------------------------
ORGANIZATION
Program Committee Chairs:Anni-Yasmin Turhan (Paderborn University,
Germany)Jonni Virtema (University of Glasgow, UK)
Local Chair:Arne Meier (Leibniz Universität Hannover, Germany)
Publicity Chair:Yasir Mahmood (Paderborn University, Germany)
Local Organizers:Timon Barlag, Nicolas Fröhlich, Vivian Holzapfel,
Rahel Kluge,Laura Strieker, Heribert Vollmer (all Leibniz Universität
Hannover)
Program Committee:Ringo Baumann, Meghyn Bienvenu, Thomas Bolander,
Stefan Borgwardt,Elena Botoeva, Willem Conradie, Fabio Cozman, Thomas
Eiter,Flavio Ferrarotti, Johannes K. Fichte, Valentin Goranko,Guido
Governatori, Marc Gyssens, Miika Hannula, Jelle Hellings,Andreas
Herzig, Martin Homola, Tomi Janhunen, Matti Järvisalo,Gabriele
Kern-Isberner, Sébastien Konieczny, Juha Kontinen,Mena Leemhuis, Joao
Leite, Sebastian Link, Maria Vanina Martinez,Arne Meier, Thomas Meyer,
Daniel Neider, Magdalena Ortiz,Nina Pardal, Elena Ravve, Sebastian
Rudolph, Katsuhiko Sano,Konstantin Schekotihin, Klaus-Dieter Schewe,
Guillermo R. Simari,Jan Van den Bussche, Stefan Woltran, Thomas
Ågotnes, Mantas Šimkus
*
Dear all,
This is the second CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects (apologies for cross-posting):
—
VarDial 2026: https://sites.google.com/view/vardial-2026/
VarDial 2026 will be colocated with EACL 2026 in Rabat, Morocco. We anticipate a discussion on computational methods and language resources for closely related languages, language varieties, and dialects.
We welcome papers dealing with one or more of the following topics:
- Language resources and tools for similar languages, varieties and dialects;
- Evaluation of language resources and tools applied to non-dominant language varieties;
- Cross-lingual transfer and adaptation of models to similar languages, varieties and dialects;
- Automatic identification of lexical variation;
- Automatic classification of language varieties;
- Machine translation between closely-related languages, language varieties and dialects;
- Corpus-driven studies in dialectology and language variation;
- Computational approaches to mutual intelligibility between dialects and similar languages;
- Text similarity and adaptation between language varieties;
- Linguistic issues in the adaptation of language resources and tools (e.g., cognate detection, semantic discrepancies, lexical gaps, false friends);
- Studies focusing on related creole languages and their lexifier languages;
- Studies focusing on diachronic language variation (e.g. phylogenetic methods, historical dialects).
In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects).
Instructions for Authors
Submissions should be formatted according to the ACL Rolling Review template and submitted as a PDF. The review process will be double-blind. More information is on the website (https://sites.google.com/view/vardial-2026/).
Important Dates
- Direct Submission deadline: December 19, 2025
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- Notification of acceptance: January 23, 2026
- Camera-ready paper due: February 3, 2026
- Workshop at EACL (hybrid): March 24-29, 2026 (exact date TBD)
Shared Task: Arabic Modeling In Your Accent (AMIYA)
VarDial 2026 will have a shared task on language modelling for dialectal Arabic (DA), where participants can contribute LLMs trained or adapted for DA. These will be evaluated using the AL-QASIDA benchmark (Robinson et al., 2025), an evaluation suite that comprehensively measures an LLM’s dialectal fidelity, understanding, generation quality, and MSA-DA diglossia in DA. More information: https://sites.google.com/view/vardial-2026/shared-tasks
- Training data release: November 30, 2025
- Registration deadline, eval data finalized: December 15, 2025
- System submission deadline: January 10, 2025
- System description paper deadline: January 20, 2025
Workshop Organizers
Yves Scherrer – University of Oslo (Norway)
Noëmi Aepli – University of Pennsylvania (USA)
Verena Blaschke – LMU Munich and Munich Center for Machine Learning (Germany)
Tommi Jauhiainen – University of Helsinki (Finland)
Nikola Ljubešić – Jožef Stefan Institute and University of Ljubljana (Slovenia)
Preslav Nakov – Mohamed bin Zayed University of Artificial Intelligence (UAE)
Jörg Tiedemann – University of Helsinki (Finland)
Marcos Zampieri – George Mason University (USA)
Contact: yves.scherrer(a)ifi.uio.no or verena.blaschke(a)cis.lmu.de
*
Dear colleagues,
We invite you to participate in a survey that will help us evaluate and
plan the development of services, activities, resources, and tools of
CLARIN.SI, the Slovenian infrastructure for language resources and
technologies. Your responses will play a key role in shaping our future
strategy and ensuring our infrastructure meets the needs of the research
community.
Take the anonymous survey here:
https://1ka.arnes.si/clarin?language=2<https://1ka.arnes.si/clarin?language=2>The
survey takes up to 15 minutes and is open until the end of November.
If you use, contribute to, or are simply interested in the language
data, services and technologies that CLARIN.SI offers, please take part
– and share the survey with others in your network.
Note: This is the English version of the Slovenian survey that was
available in March 2025. If you have already completed the survey in
Slovenian, please do not fill it out again.
Best regards,
The CLARIN.SI Team
*
International Conference
'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026)
Fes, Morocco
30 September, 1 and 2 October 2026
www.latell.org/2026/ [1]
First Call for Papers
The conference
Natural Language Processing (NLP) has witnessed remarkable progress in
recent years, largely driven by the emergence of deep learning
architectures and, more recently, large language models (LLMs).
Nevertheless, these advances have disproportionately benefited
high-resource languages that possess abundant data for model training.
By contrast, low-resource languages--which account for at least 85% of
the world's linguistic diversity and are often spoken by smaller or
marginalised communities- have not yet reaped the full benefits of
contemporary NLP technologies.
This imbalance can be attributed to several interrelated factors,
including the scarcity of high-quality training data, limited
computational and financial resources, and insufficient community
engagement in data collection and model development. Developing NLP
applications for low-resource languages poses major challenges,
particularly the need for large, well-annotated datasets, standardised
tools, and robust linguistic resources.
Although several workshops have previously addressed NLP for
low-resource languages, _LaTeLL_ represents the first international
conference dedicated specifically to the automatic processing of such
languages. The event aims to provide a forum for researchers to present
and discuss their latest work in NLP in general, and in the development
and evaluation of language models for low-resource languages in
particular.
Conference topics
We invite submissions on a broad spectrum of topics concerning
linguistic and computational studies focusing on low-resource languages,
including but not limited to the following topics:
Language resources for low-resource languages
* Dataset creation and annotation
* Evaluation methodologies and benchmarks for low-resource settings
* Lexical resources, corpora, and linguistic databases
* Crowdsourcing and community-driven data collection
* Tools and frameworks for low-resource language processing
Core language technologies for low-resource languages
* Language modelling and pre-training for low-resource languages
* Speech recognition, text-to-speech, and spoken language
understanding
* Phonology, morphology, word segmentation, and tokenisation
* Syntax: tagging, chunking, and parsing
* Semantics: lexical and sentence-level representation
NLP Applications for low-resource languages
* Information extraction and named entity recognition
* Question answering systems
* Dialogue and interactive systems
* Summarisation
* Machine translation
* Sentiment analysis, stylistic analysis, and argument mining
* Content moderation
* Information retrieval and text mining
Multimodality and Grounding for low-resource languages
* Vision and language for low-resource contexts
* Speech and text multimodal systems
* Low-resource sign language processing
Ethics, Equity, and Social Impact for low-resource languages
* Bias and fairness in low-resource language technologies
* Sociolinguistic considerations in technology development
* Cultural appropriateness and sensitivity
Human-Centred Approaches in low-resource languages
* Usability and accessibility of low-resource language technologies
* Educational applications and language learning
* Community needs assessment and technology adoption
* User experience research in low-resource contexts
Multilinguality and Cross-Lingual Methods for low-resource languages
* Multilingual language models and their adaptation
* Code-switching and code-mixing
* Cross-lingual transfer learning in low-resource languages.
Special Theme Track 1 -- Building Applications Based on Large Language
Models for Low-Resource Languages
_LaTeLL'2026_ will feature a Special Theme Track dedicated to the
development of applications based on Large Language Models (LLMs) for
low-resource languages.
This track aims to explore innovative methodologies, architectures, and
tools that leverage the power of LLMs to enhance linguistic processing,
accessibility, and inclusivity for underrepresented languages.
Contributions are encouraged on topics such as model adaptation and
fine-tuning, multilingual and cross-lingual transfer, ethical and
fairness considerations, and the creation of datasets and benchmarks
that facilitate the integration of LLM-based solutions in low-resource
settings.
Special Theme Track 2 -- Modern Standard Arabic (MSA) and Arabic
Dialects
This special track addresses the unique challenges and opportunities in
processing Modern Standard Arabic (MSA) and the rich landscape of Arabic
dialects. The diglossic nature of Arabic, where the formal MSA coexists
with numerous, widely used spoken dialects, presents a significant
hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects
are quintessential examples of low-resource languages, often lacking
standardised orthographies, annotated corpora, and dedicated processing
tools. This track invites submissions on novel research and resources
aimed at bridging this gap and advancing the state of the art in Arabic
language technology. Topics of interest include, but are not limited to:
* Dialect identification and classification
* Creation of corpora and lexical resources for Arabic dialects
* Machine translation between MSA and dialects, and across different
dialects
* Speech recognition and synthesis for dialectal Arabic
* Computational modelling of morphology, syntax, and semantics for
dialects
* NLP applications (e.g., sentiment analysis, NER) for dialectal
user-generated content
* Code-switching between Arabic dialects, MSA, and other languages
Submissions and Publication
_LaTeLL'2026_ welcomes high-quality submissions in English, which may
take one of the following two forms:
* Regular (long) papers:Up to eight (8) pages in length, presenting
substantial, original, completed, and unpublished research.
* Short (poster) papers:Up to four (4) pages in length, suitable for
concise or focused contributions, ongoing research, negative results,
system demonstrations, and similar work. Short papers will be presented
during a dedicated poster session.
The conference will not consider submissions consisting of abstracts
only.
All accepted papers--both long and short--will be published as
electronic proceedings (with ISBN) and made available on the conference
website at the time of the event. The organisers intend to submit the
proceedings for inclusion in the ACL Anthology.
Authors of papers receiving exceptionally positive reviews will be
invited to prepare extended and substantially revised versions for
submission to a leading journal in the field of Natural Language
Processing (NLP).
Further details regarding the submission process will be provided in the
Second Call for Papers, scheduled for release in November 2025.
The conference will also feature a Student Workshop, and awards will be
presented to the authors of outstanding papers.
Important dates
* Submissions due: 1 May 2026
* Reviewing process: 20 May - 20 June 2026
* Notification of acceptance: 25 June 2026
* Camera-ready due: 10 July 2026
* Conference camera-ready proceedings ready 10 July 2026
* Conference: 30 September, 1 October and 2 October 2026
Organisation
Conference Chair
Ruslan Mitkov (Lancaster University and University of Alicante)
Programme Committee Chairs
Saad Ezzini (King Fahd University of Petroleum & Minerals)
Salima Lamsiyah (University of Luxembourg)
Tharindu Ranasinghe (Lancaster University)
Organising Committee
Maram Alharbi (Lancaster University)
Salmane Chafik (Mohammed VI Polytechnic University)
Ernesto Estevanell (University of Alicante)
Further information and contact details
The follow-up calls will provide more details on the conference venue
and list keynote speakers and members of the programme committee once
confirmed.
The conference website is www.latell.org/2026/ [1] and will be updated
on a regular basis. For further information, please email
2026(a)latell.org
Registration will open in March 2026.
Links:
------
[1] http://www.latell.org/2026/
Apologies for the cross-posting.
⏳ Only 5 days left to apply!
PhD position in Emotionally and Socially Aware Natural Language Processing (LIACS, Leiden University)
Please note the updated application link (due to a recent university webpage update).
Link: https://careers.universiteitleiden.nl/job/PhD-Candidate-in-Emotionally-and-…
---------------------------------------------------------------------------
Dear colleagues,
We are looking for a PhD candidate in Emotionally and Socially Aware Natural Language Processing at LIACS, Leiden University. The PhD will be supervised by myself, Prof. Suzan Verberne, and Prof. Joost Broekens. The position is part of the Human-AI cluster, a great environment for interdisciplinary research where AI and machine learning meet philosophy, cognitive science, and the creative arts.
This PhD position focuses on advancing AI models that don’t just optimize for accuracy, but also recognize and respond to emotions responsibly and adapt to social context. Current systems often reproduce or amplify social biases, generate toxic context, or do not respond safely to emotional cues. The goal of this PhD is to design AI systems that promote inclusivity, fairness, and emotional intelligence in human-AI interaction, with a particular focus on applications in mental well-being, education, and other socially sensitive contexts where how AI interacts with people has a big impact.
The deadline to apply is November 17, 2025.
Details on the position and the application procedure can be found in the job ad: https://careers.universiteitleiden.nl/job/PhD-Candidate-in-Emotionally-and-…
Best regards,
Flor Plaza
------------------------------------------------
Flor Miriam Plaza del Arco, Ph.D.
Assistant Professor
Leiden Institute of Advanced Computer Science (LIACS), Human AI
Leiden University
Office: BM 3.03, Gorlaeus Gebouw – BE-vleugel
Einsteinweg 55, 2333 CC Leiden, Netherlands
🌐 Website<https://fmplaza.github.io/> | 🦋 BlueSky<http://florplaza.bsky.social/>
Classified as Internal | Intern
*15th Workshop on Computational Approaches to Subjectivity,
Sentiment & Social Media Analysis (WASSA 2026) – 2nd Call for Papers*
*EACL’26, March 24–29, 2026, Rabat, Morocco, Half Day Workshop*
*Background and Envisaged Scope*
*Subjectivity and Sentiment Analysis has become a highly developed
research area, ranging from binary classification of reviews to the
detection of complex emotion structures between entities found in
text. This field has expanded both on a practical level, finding
numerous successful applications in business, as well as on a
theoretical level, allowing researchers to explore more complex
research questions related to affective computing. Its continuing
importance is also shown by the interest it generates in other
disciplines such as Economics, Sociology, Psychology, Marketing,
Crisis Management & Digital Humanities, where it can support the
study of online interactions, group dynamics, and public discourse.*
*The aim of WASSA 2026 is to bring together researchers working on
Subjectivity, Sentiment Analysis, Emotion Detection and
Classification and their applications to other NLP or real-world
tasks (e.g. public health messaging, fake news, media impact
analysis, social media mining, computational literary studies) and
researchers working on interdisciplinary aspects of affect
computation from text. We encourage the submission of long and short
research and demo papers including, but not restricted to the
following topics:*
*
*Resources for subjectivity, sentiment, emotion and social media
analysis*
*
*Opinion retrieval, extraction, categorization, aggregation and
summarization*
*
*Humor, Irony and Sarcasm detection*
*
*Mis- and disinformation analysis and the role of affective attributes*
*
*Aspect and topic-based sentiment and emotion analysis*
*
*Analysis of stable traits of social media users, incl. personality
analysis and profiling*
*
*Transfer learning for domain, language and genre portability of
sentiment analysis*
*
*Modelling commonsense knowledge for subjectivity, sentiment or
emotion analysis*
*
*Improvement of NLP tasks using subjectivity and/or sentiment analysis*
*
*Intrinsic and extrinsic evaluation of subjectivity and/or sentiment
analysis*
*
*Application of theories from related fields to subjectivity and
sentiment analysis*
*
*Multimodal emotion detection and classification*
*
*Social Groups analysis and their interactions in Social Media*
*
*Generation, detection, and evaluation of subjectivity, sentiment,
and emotion in NLP tasks with LLMs*
*
*Risks, challenges, and ethical implications of affective uses of LLMs*
*
*The role of emotions in argument mining*
*
*Applications of sentiment and emotion mining*
*
*Public sentiments and communication patterns of public health
emergencies.*
*
*The analysis of pretrained small and large language models.*
*Finally, this year we also propose a special trackon multilinguality
and socio-cultural adaptation to lesser-resourced languages/communities. *
*In general, we particularly invite contributions from young
researchers, work on low-resource languages, multilingual methods, and
interdisciplinary work.*
*Important dates*
*
*December 17, 2025: Direct submission deadline*
*
*January 2, 2026: ARR submission deadline*
*
*January 23, 2026: Notification of acceptance*
*
*February 3, 2026: Camera Ready Papers due*
*
*March 24–29, 2026: EACL with WASSA workshop on one of the days.*
*Shared tasks*
*We do not offer a shared task this year.*
*Papers*
*At WASSA 2026, we will accept three types of submissions:*
*For the regular research track we accept long& shortpapers.*
*Additionally, we accept double submissions and double commitment of ARR
reviews in parallel to WASSA and another venue. Please note that you
must immediately withdraw your paper from WASSA if you decide to publish
it elsewhere. Check with the other venue if they also allow double
submissions.*
*Longpapers may consist of up to eight (8) pages of content, with any
number of additional pages of references. A- subset of these papers will
be presented orally.*
*Shortpapers may consist of up to four (4) pages of content, with any
number of additional pages of references. Most of these papers will be
presented as posters.*
*Also this year there is an industry track, for which we accept demo
papers. Demo papersdescribe system demonstrations, ranging from early
prototypes to mature production-ready systems. Commercial sales and
marketing activities are not appropriate for this track. Demo papers may
consist of up to six (6) pages of content, these will be presented as a
poster and should include a live demonstration.*
*Submission procedure and templates*
*Submissions without reviews can be done directly through our Open
Review side
(https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/WASSA).*
*Authors who received reviews already through the ACL Rolling Review
process are invited to commit their reviewed paper to WASSA. To do so,
please go to our ARR Website and click on “ACL 2026 Workshop WASSA
Commitment Submission”. You will then need to add the title, the URL to
the ARR submission with reviews + metareview, and other information.*
*Both long and short papers must be anonymised for double-blind
reviewing, must follow the ACL Author Guidelines
<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines>,
and must use the ACL templates
(https://github.com/acl-org/acl-style-files). The submitting author must
have an OpenReview profile*
*Optional Supplementary Materials: Appendices, Software and Data*
*ARR encourages the submission of these supplementary materials to
improve the reproducibility of results, and to enable authors to provide
additional information that does not fit in the paper. Supplementary
materials may include appendices, software or data. For example, pre
processing decisions, model parameters, feature templates, lengthy
proofs or derivations, pseudocode, sample system inputs/outputs, and
other details that are necessary for the exact replication of the work
described in the paper can be put into appendices. However, if the
pseudo-code or derivations or model specifications are an important part
of the contribution, or if they are important for the reviewers to
assess the technical correctness of the work, they should be a part of
the main paper, and not appear in appendices. Reviewers are not required
to consider material in appendices. Appendices should come after the
references in the submitted pdf, but do not count towards the page
limit. Software should be submitted as a single .tgz or .zip archive,
and data as a separate single .tgz or .zip archive. Supplementary
materials must be fully anonymized to preserve the two-way anonymized
reviewing policy and must not exceed 100MB.*
*Organizers*
*
Jeremy Barnes, University of the Basque Country
Valentin Barriere, University of Chile
Orphée De Clercq, Ghent University
Roman Klinger, University of Bamberg
Célia Nouri, Inria and Sciences Po
Debora Nozza, Bocconi University
Pranaydeep Singh, Ghent University
Contact
Email: wassaworkshop(a)gmail.com
Website: https://workshop-wassa.github.io/
*
--
Prof. Dr. Roman Klinger (he/him)
Professor for Fundamentals of Natural Language Processing
Faculty Information Systems and Applied Computer Sciences (WIAI)
Otto-Friedrich-University Bamberg
Office: Room 02.10; Gutenbergstr. 13; 96050 Bamberg; Germany
Phone: +49 951 863 3320
Mail:roman.klinger@uni-bamberg.de
WWW:
https://www.uni-bamberg.de/nlproc/https://www.romanklinger.de/
The Computational Linguistics group at Uppsala University is hiring a postdoctoral research to work on multilingual NLP. The deadline for applying is November 26 and it is possible to apply even if you don’t yet have your PhD degree (but expect to get it within 1–2 months). Here is the full announcement:
https://www.uu.se/en/about-uu/join-us/jobs-and-vacancies/job-details?query=…
Joakim Nivre
Professor of Computational Linguistics
Uppsala University
När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/
E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy
Dear colleagues,
I am delighted to announce the winter 2025/26 edition of
*ReproducibiliTea in the HumaniTeas*
<https://ub.uni-koeln.de/en/courses-consultations/specials/reproducibilitea-…> with
a host of wonderful guest speakers, exciting discussion topics, and
several hands-on workshops, too! We are sticking to our usual, informal
discussion format and 4 o'clock tea time; however we have moved to
*Thursday afternoons*. You can find the full schedule on our homepage
<https://ub.uni-koeln.de/en/courses-consultations/specials/reproducibilitea-…>
with topics ranging from reproducibility, data sharing, and replication
to research integrity, participant consent, and the use of generative AI
in (linguistics) research. For those of you who use digital calenders,
the dates are also available for download in standard ical format
<https://www.edulabs.uni-koeln.de/calendar.php?client_id=iliasedulabs&token=…>
and for Google calenders
<https://www.edulabs.uni-koeln.de/calendar.php?client_id=iliasedulabs&token=…>.
We are kicking things off this coming *Thursday 13 November 16-17:30
CET* with corpus linguist Amalia Canes-Nápoles**from the Department of
Romance Studies at the University of Cologne. Amalia will share insights
into "Reproducibility in automated corpus compilation: Challenges of
dynamic workflows" and will lead a broader discussion on computational
reproducibility in day-to-day research.
Future guest speakers include three more distinguished linguists: Lukas
Sönning, Mark Dingemanse, and Maryam Mohammadi, plus several Quarto
workshops led by myself, and fellow linguists and co-organisers of
ReproducibiliTea in the HumaniTeas: Gabriele Schwiertz and Denis Arnold.
You can join us in person at the University Library in Cologne where we
serve a range of teas and biscuits or brew your own and join us via
Zoom. Please join our mailing list to get the Zoom links:
https://lists.uni-koeln.de/mailman/listinfo/reproducibilitea-humaniteas.
We aim to be as inclusive as possible: from B.A. students to full
professors, everyone is welcome and there are no silly questions! The
full schedule can be found here:
https://ub.uni-koeln.de/kurse-beratung/specials/reproducibilitea-in-the-hum….
Best,
Elen
SIGHUM (LaTeCH-CLfL) 2026
The 10th Joint SIGHUM Workshop on Computational Linguistics
for Cultural Heritage, Social Sciences, Humanities and Literature
to be held at EACL in March 2026 in Rabat, Morocco
as a two-day workshop with one on-site and one online day
Second Call for Papers (with apologies for cross-posting)
Organizers: Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb,
Anna Kazantseva, Janis Pagel, Stan Szpakowicz
SIGHUM (LaTeCH-CLfL) 2026 is the tenth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual events which also host the SIGHUM business meetings.
Workshop site
https://sighum.wordpress.com/events/sighum-latech-clfl-2026/
Important dates
Submission deadline: January 5th, 2026
Notification of acceptance: February 3rd, 2026
Camera-ready paper due: February 10th, 2026
Description
The community of the broadly understood Digital Humanities (DH) has witnessed remarkable growth and transformation, fueled by the rapid advancements in NLP. There is a steady interest in, and a high demand for, NLP methods of semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of primary and secondary data. Even so, the heterogeneous landscape of the DH with their diverse, often multi-lingual or multi-modal sources can be a challenge for NLP. Consider, for example, the growing interest in historical language data and in under-resourced languages.
There are unique obstacles in developing comprehensive language models in aid of the linguistic diversity in DH. The handling of noisy and non-standard data, and the need for domain adaptation and intensive annotation, continue to be at the forefront of research effort in the community. The literary studies, which have witnessed substantial progress in the application of NLP methods, bring their own similar problems. Navigating forms of creative expression requires more than the typical information-seeking tools. A case in point might be the study of literature of a certain period, author or sub-genre, the recognition of certain literary devices, or the quantitative analysis of poetry.
The emergence of Large Language Models (LLMs) expands the DH toolkit. There is support for automatic text cleaning and annotation, creation of semantic resources, analysis of narrative, genre and literary style, and linking information across sources. LLMs can support historical or low-resource languages, particularly when complemented with domain-specific fine-tuning and careful evaluation. One must note, however, that even with careful adaptation, curation and attention to interpretability, LLM outputs remain prone to errors, biases and lack of transparency; that requires rigorous assessment to ensure their suitability for scholarly research.
There is growing emphasis on the importance of explanation in NLP models. That applied equally to DH, whose various domains enjoy the effect of NLP. Transparency and clarity of the results are critical if one is to accept the processed data, and gain valuable insights. That is why one must carefully consider a balance between raw performance scores and interpretability, in keeping with the specific research objectives.
For many years now, this broad research context has drawn together NLP experts, data specialists and researchers in Digital Humanities who work in and across their domains. Our long-standing series of workshops has shown that cross-disciplinary exchange supports work in the Humanities, Social Sciences and Cultural Heritage communities. It encourages the Computational Linguistics community to build rich, effective tools and, above all, interpretable models.
Topics
Our workshops attract original work on a wide variety of topics, including – but as usual not restricted to – these:
adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature;
automatic error detection and cleaning of textual data;
complex annotation schemas, tools and interfaces;
creation (fully- or semi-automatic) of semantic resources;
creation and analysis of social networks of literary characters;
discourse and narrative analysis/modelling, notably in literature;
emotion analysis for the humanities and for literature;
generation of literary narrative, dialogue or poetry;
identification and analysis of literary genres;
information/knowledge modelling in the Humanities, Social Sciences and Cultural Heritage;
interpretability of large language models output for DH-related tasks (explainable AI);
linking and retrieving information from different sources, media, and domains;
low-resource and historical language processing;
modelling dialogue literary style for generation;
profiling and authorship attribution;
search for scientific and/or scholarly literature;
work with linguistic variation and non-standard or historical use of language
Information for authors
We invite papers on original, unpublished work in the topic areas of the workshop. We will consider long papers, short papers and system descriptions (demos). We also welcome position papers.
Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account.
A short paper / demo presenting work in progress or the description of a system may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings.
A position paper — clearly marked as such — should not exceed eight (8) pages including references.
All submissions are to follow the *ACL paper styles (for LaTeX / Overleaf and MS Word) available at https://github.com/acl-org/acl-style-files <https://github.com/acl-org/acl-style-files>. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL 2026 submission website on the SoftConf pages (we will publish the link as soon as we have it).
Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Please keep references to your own work at a reasonable minimum, and do not use anonymous citations.
In accordance with the EACL 2026 policy on multiple submission, we will not consider any paper that is under review in a journal or another conference at the time of submission. During the review period, papers submitted to our workshop cannot also be submitted elsewhere.
Stefania Degaetano-Ortlieb
Associate Professor
Universität des Saarlandes
Language Science and Technology
Campus A2.2, 1.06
66123 Saarbrücken
Tel.: ++49 681 302 70077
E-Mail: s.degaetano(a)mx.uni-saarland.de
www.stefaniadegaetano.com
The Language, Computation, and Cognition Lab (LaCoCo)
<https://lacoco-lab.github.io/home/> at Saarland Informatics Campus
(Saarbrücken, Germany), directed by Michael Hahn <https://mhahn.info/>,
invites applications for fully funded PhD and postdoc positions, with a
flexible start date.
*
RESEARCH AREAS
*
We’re especially excited about projects on:
* Architectural limitations of large language models (LLMs),
especially from theoretical perspectives
* New architectures and efficient reasoning for LLMs
* Mechanistic interpretability
* Theoretical foundations for AI safety
You’ll have substantial freedom to shape your topic within the lab’s scope.
*ABOUT THE LAB*
The lab is generously supported by an Emmy Noether grant (DFG) and has
substantial GPU resources. We regularly publish at top venues (e.g.,
six NeurIPS/ICML/ICLR papers in 2024–2025; ACL Best Paper 2024) and are
embedded in a world-class environment: Saarland University (Departments
of Computer Science and Language Science & Technology)
<https://saarland-informatics-campus.de/en/>, MPI for Informatics
<https://www.mpi-inf.mpg.de/home>, MPI-SWS <https://www.mpi-sws.org/>,
CISPA <https://cispa.de/en>, and DFKI <https://www.dfki.de/en/web>.
Learn more about the lab at https://lacoco-lab.github.io/
<https://lacoco-lab.github.io/><https://lacoco-lab.github.io/>
*HOW TO APPLY
*
Please follow the procedure here: https://lacoco-lab.github.io/joining/
<https://lacoco-lab.github.io/joining/><https://lacoco-lab.github.io/joining/>
Deadline: December 20, 2025.
For questions, please contact Michael Hahn, mhahn(a)lst.uni-saarland.de
Applicants are expected to have a Master's degree by the start date.
Applicants who only have an undergraduate degree should instead apply to
the Saarbrücken Graduate School of Computer Science
<https://www.graduateschool-computerscience.de/>.
--
Michael Hahn
Assistant Professor
Saarland Informatics Campus
Saarland University
Group: https://lacoco-lab.github.io/
Personal: https://www.mhahn.info/